![Solved 6. Show that the inner product space C1[−1,1] of all | Chegg.com](https://media.cheggcdn.com/media/8ef/8ef67b50-a1e9-4300-bd5e-c8959dc9c1aa/phpfUaBcK "Solved 6. Show that the inner product space C1[−1,1] of all | Chegg.com")
Solved 6. Show that the inner product space C1[−1,1] of all | Chegg.com
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![SOLVED: Let V = P(R), equipped with the inner product defined by (f,g) = ∫[a,b] f(t)g(t) dt. Then 12v₠- 3v₂ + 2v₃ is an orthonormal basis for V. (You do not](https://cdn.numerade.com/ask_images/0e9ea490a6134442953bb7305b5c7a2a.jpg "SOLVED: Let V = P(R), equipped with the inner product defined by (f,g) = ∫[a,b] f(t)g(t) dt. Then 12v₠- 3v₂ + 2v₃ is an orthonormal basis for V. (You do not")
SOLVED: Let V = P(R), equipped with the inner product defined by (f,g) = ∫[a,b] f(t)g(t) dt. Then 12v₠- 3v₂ + 2v₃ is an orthonormal basis for V. (You do not
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The Matrix Calculus You Need For Deep Learning
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![Keenan Crane on Twitter: "[26/n] More precisely: The *gradient* is the vector whose _inner product_ with any vector X gives the directional derivative along X. So: a different inner product gives a](https://pbs.twimg.com/media/E70XQzPWQAICKGO.jpg:large "Keenan Crane on Twitter: \"[26/n] More precisely: The *gradient* is the vector whose _inner product_ with any vector X gives the directional derivative along X. So: a different inner product gives a")
Keenan Crane on Twitter: "[26/n] More precisely: The *gradient* is the vector whose _inner product_ with any vector X gives the directional derivative along X. So: a different inner product gives a
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